Collaborative computational anatomy: an MRI morphometry study of the human brain via diffeomorphic metric mapping.
Collaborative computational anatomy: an MRI morphometry study of the human brain via diffeomorphic metric mapping.
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协作计算解剖学:通过微分同态度量映射对人脑进行 MRI 形态测量研究。
DOI:
10.1002/hbm.20655
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发表时间:
2009-07
影响因子:
4.8
通讯作者:
Buckner, Randy L.
中科院分区:
文献类型:
--
作者:
Miller, Michael I.;Priebe, Carey E.;Qiu, Anqi;Fischl, Bruce;Kolasny, Anthony;Brown, Timothy;Park, Youngser;Ratnanather, J. Tilak;Busa, Evelina;Jovicich, Jorge;Yu, Peng;Dickerson, Bradford C.;Buckner, Randy L.
This paper describes a large multi-institutional analysis of the shape and structure of the human hippocampus in the aging brain as measured via MRI. The study was conducted on a population of 101 controls (n=57) with Clinical Dementia Rating (CDR) score 0 and subjects clinically diagnosed with Alzheimer’s Disease (AD, 28 with CDR 0.5 and 10 with CDR 1) or semantic dementia (SD, 4 with CDR 0.5 and 2 with CDR 0) with imaging data collected at Washington University in St. Louis, hippocampal structure annotated at the Massachusetts General Hospital, and anatomical shapes embedded into a metric shape space using large deformation diffeomorphic mapping (LDDMM) at the Johns Hopkins University. A global classifier was constructed for discriminating cohorts of nondemented (CDR 0) and demented (CDR 0.5 or 1) subjects based on linear discriminant analysis of dimensions derived from metric distances between anatomical shapes demonstrating class conditional structure measured via LDDMM metric shape (p < .01). Localized analysis of the control and AD subjects only on the coordinates of the population template demonstrates shape changes in the subiculum and the CA1 subfield in AD (p < .05). Such large scale collaborative analysis of anatomical shapes has the potential to enhance the understanding of neurodevelopmental and neuropsychiatric disorders.
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DOI:
10.1023/b:visi.0000043755.93987.aa
发表时间:
2005-02-01
影响因子:
19.5
作者:
Beg, MF;Miller, MI;Younes, L
通讯作者:
Younes, L
影响因子:
5.7
作者:
Csernansky, JG;Wang, L;Miller, MI
通讯作者:
Miller, MI
影响因子:
9.9
作者:
Csernansky, JG;Wang, L;Miller, MI
通讯作者:
Miller, MI
影响因子:
5.7
作者:
Fischl, B;Salat, DH;Dale, AM
通讯作者:
Dale, AM
影响因子:
--
作者:
Fotenos, Anthony F.;Mintun, Mark A.;Buckner, Randy L.
通讯作者:
Buckner, Randy L.